SCRPM: securing crowdsourcing-based road pavement monitoring system with location privacy

Abstract

To provide privacy protection, security protocols for crowdsourcing-based systems typically encrypt data before uploading it to the server. However, current security protocols cannot provide protection for real identities, resulting in the location privacy issue. Moreover, current security protocols for crowdsourcing-based systems are mainly based on bilinear map, which is quite time-consuming. To address the above security and efficiency issues, we propose a novel security protocol with location privacy called SCRPM. Similar to protocols of this field, SCRPM can provide privacy protection for uploaded data. However, different from other well-known approaches, SCRPM uses pseudonyms instead of real identities, which can provide location privacy protection for cars. At the same time, to avoid using bilinear pairing, we introduce the algebraic signature technique to SCRPM and design novel signcryption algorithms, which is quite light weight. By doing so, SCRPM can provide location privacy protection for cars while still enjoying high efficiency. Experimental results show SCRPM is feasible for real world applications.